Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Molajou, Amir; Nourani, Vahid; Afshar, Abbas; Khosravi, Mina; Brysiewicz, Adam

doi:10.1007/s11269-021-02818-2

Cited by 63 publications

(34 citation statements)

References 25 publications

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“…The purpose is to determine the shortest path between a sequence of cities (nodes) so that each city only meets once and then returns to the starting city. The main challenge in this regard is the number of cities; in fact, by increasing the number of nodes and thus creating sub-tours, accurate optimization methods are unable to solve this problem in a reasonable time, necessitating the development of novel algorithms and solutions to achieve optimal or acceptable solutions in a reasonable time (Molajou et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Study on food sampling routing system based on traveling salesman problem

et al. 2022

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The issue of preserving fresh food during the transportation is one of the long-standing issues for food distributors. On the other hand, the issue of vehicle routing is one of the most important issues in distribution management. Affecting the quality of food is the distribution process, which reduces the distribution time through vehicle routing plays an important role in reducing food spoilage. Therefore, in this study, the problem of vehicle routing in the distribution of perishable food materials is investigated. The time is different so that the distance is minimized and the capacities and time windows are not violated. This research aims to find facilities, identify the size of each cargo, and establish the most efficient vehicle routes to reduce overall costs at three levels in the event of a system failure. Undoubtedly, the traveling salesman issue is one of the most famous issues in the field of artificial intelligence.

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Section: Methodsmentioning

confidence: 99%

Study on food sampling routing system based on traveling salesman problem

et al. 2022

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“…The term AI refers to machines that are built to think, make decisions, solve problems, and behave in a way that humans make decisions, apart from being able to progress through selflearning. Currently, there is theoretically generalized AI, but only weak or practical AI has been created (Misra et al, 2020;Nica et al, 2020;Molajou et al, 2021b).…”

Section: The Review Of Food Safety Inspection System Based On Artificial Intelligence Image Processing and Roboticmentioning

confidence: 99%

The review of food safety inspection system based on artificial intelligence, image processing, and robotic

Chen¹,

Yu²

2022

Food Sci. Technol

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The main target of the current study is to review the latest developments in accurate, reliable, and low-cost non-contact or remote techniques, including the usage of artificial intelligence (AI)-based methods, image processing (IP) system, and sensor technology for quality assessment in the food industry (FI). The IP systems and AI can be used for various purposes, such as classifying products based on size and shape, detecting product defects, the presence of microbes, and grading food quality. The sensor technology is now highly developed to assess food products' quality and safety due to the dramatic growth of nanotechnology and biotechnology. Also, in this paper, it was tried to examine the role of robots in the FI and discusses the advantages and disadvantages of using them in the FI.

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“…Artificial Neural Network (ANN) and Channel Relationships techniques have been widely utilized to handle spectral data in recent years (Silva et al, 2015;Vasilescu et al, 2011). ANNs for simulation and modeling have gained popularity in various fields, including control, water treatment, chemical engineering, and energy (Molajou et al, 2021;Nourani et al, 2019a, b). The use of ANN in food chemistry and research is investigated (Gonzalez-Fernandez et al, 2019;Haroni et al, 2018;Zhou et al, 2019).…”

Section: Employing Artificial Neural Network and Fluorescence Spectrum For Food Vegetable Oils Identificationmentioning

confidence: 99%

Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

et al. 2022

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Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Cited by 63 publications

References 25 publications

Study on food sampling routing system based on traveling salesman problem

Study on food sampling routing system based on traveling salesman problem

The review of food safety inspection system based on artificial intelligence, image processing, and robotic

Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

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